IDEAS home Printed from https://ideas.repec.org/a/ags/gjagec/97183.html
   My bibliography  Save this article

Economies of Scale in der Produktion versus Diseconomies im Transport: Zum Strukturwandel im Molkereisektor

Author

Listed:
  • Boysen, Ole
  • Schroeder, Carsten

Abstract

In this article, we simulate structural change within the German dairy sector employing a sector-wide optimization model. As a result, we obtain cost minimizing structures of the dairy sector for various scenarios differentiated by time horizon and level of transportation cost. We demonstrate that the model is capable of explaining the current trend which is characterized by a decrease in the number of dairies while average capacity is increasing. However, this development is less pronounced if transportation cost rises relative to other costs.

Suggested Citation

  • Boysen, Ole & Schroeder, Carsten, 2006. "Economies of Scale in der Produktion versus Diseconomies im Transport: Zum Strukturwandel im Molkereisektor," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 55(03), pages 1-16.
    • Handle: RePEc:ags:gjagec:97183
    DOI: 10.22004/ag.econ.97183
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/97183/files/3_Boysen.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.97183?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Klose, Andreas & Drexl, Andreas, 2005. "Facility location models for distribution system design," European Journal of Operational Research, Elsevier, vol. 162(1), pages 4-29, April.
    2. Fred Glover, 1989. "Tabu Search---Part I," INFORMS Journal on Computing, INFORMS, vol. 1(3), pages 190-206, August.
    3. Helen Caraveli & W. Bruce Traill, 1998. "Technological developments and economies of scale in dairy industry," Agribusiness, John Wiley & Sons, Ltd., vol. 14(4), pages 311-319.
    4. Klaus Drescher & Oswin Maurer, 1999. "Competitiveness in the European dairy industries," Agribusiness, John Wiley & Sons, Ltd., vol. 15(2), pages 163-177.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Bitzer, Jurgen & Geishecker, Ingo, 2006. "What drives trade-related R&D spillovers? Decomposing knowledge-diffusing trade flows," Economics Letters, Elsevier, vol. 93(1), pages 52-57, October.
    2. Delzeit, Ruth & Kellner, Ulla, 2011. "How location decisions influence transport costs of processed and unprocessed bioenergy digestates: The impact of plant size and location on profitability of biogas plants in Germany," Kiel Working Papers 1730, Kiel Institute for the World Economy (IfW Kiel).
    3. Delzeit, Ruth & Britz, Wolfgang & Holm-Müller, Karin, 2011. "Modelling regional input markets with numerous processing plants: The case of green maize for biogas production in Germany," Discussion Papers 162892, University of Bonn, Institute for Food and Resource Economics.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Boysen, Ole & Schröder, Carsten, 2005. "Economies of Scale in der Produktion versus Diseconomies im Transport: Zum Strukturwandel in der Milchindustrie," Discussion Papers 2005/15, Free University Berlin, School of Business & Economics.
    2. Noham, Reut & Tzur, Michal, 2018. "Designing humanitarian supply chains by incorporating actual post-disaster decisions," European Journal of Operational Research, Elsevier, vol. 265(3), pages 1064-1077.
    3. Bhuvnesh Sharma & M. Ramkumar & Nachiappan Subramanian & Bharat Malhotra, 2019. "Dynamic temporary blood facility location-allocation during and post-disaster periods," Annals of Operations Research, Springer, vol. 283(1), pages 705-736, December.
    4. Marianov, Vladimir & Serra, Daniel & ReVelle, Charles, 1999. "Location of hubs in a competitive environment," European Journal of Operational Research, Elsevier, vol. 114(2), pages 363-371, April.
    5. Hachicha, Wafik & Ammeri, Ahmed & Masmoudi, Faouzi & Chachoub, Habib, 2010. "A comprehensive literature classification of simulation optimisation methods," MPRA Paper 27652, University Library of Munich, Germany.
    6. Chiara Gruden & Irena Ištoka Otković & Matjaž Šraml, 2020. "Neural Networks Applied to Microsimulation: A Prediction Model for Pedestrian Crossing Time," Sustainability, MDPI, vol. 12(13), pages 1-22, July.
    7. Etemadnia, Hamideh & Goetz, Stephan J. & Canning, Patrick & Tavallali, Mohammad Sadegh, 2015. "Optimal wholesale facilities location within the fruit and vegetables supply chain with bimodal transportation options: An LP-MIP heuristic approach," European Journal of Operational Research, Elsevier, vol. 244(2), pages 648-661.
    8. Chou, Jui-Sheng & Truong, Dinh-Nhat, 2021. "A novel metaheuristic optimizer inspired by behavior of jellyfish in ocean," Applied Mathematics and Computation, Elsevier, vol. 389(C).
    9. Wu, Shanhua & Yang, Zhongzhen, 2018. "Locating manufacturing industries by flow-capturing location model – Case of Chinese steel industry," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 112(C), pages 1-11.
    10. Emad Alzubi & Bernd Noche, 2022. "A Multi-Objective Model to Find the Sustainable Location for Citrus Hub," Sustainability, MDPI, vol. 14(21), pages 1-17, November.
    11. Zaraket, Fadi A. & Olleik, Majd & Yassine, Ali A., 2014. "Skill-based framework for optimal software project selection and resource allocation," European Journal of Operational Research, Elsevier, vol. 234(1), pages 308-318.
    12. Elias Olivares-Benitez & José González-Velarde & Roger Ríos-Mercado, 2012. "A supply chain design problem with facility location and bi-objective transportation choices," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 20(3), pages 729-753, October.
    13. Amberg, Anita & Domschke, Wolfgang & Vo[ss], Stefan, 2000. "Multiple center capacitated arc routing problems: A tabu search algorithm using capacitated trees," European Journal of Operational Research, Elsevier, vol. 124(2), pages 360-376, July.
    14. Sumanta Basu & Ravindra S Gajulapalli & Ghosh, Diptesh, 2008. "Implementing Tabu Search to Exploit Sparsity in ATSP Instances," IIMA Working Papers WP2008-10-02, Indian Institute of Management Ahmedabad, Research and Publication Department.
    15. Ferrucci, Francesco & Bock, Stefan & Gendreau, Michel, 2013. "A pro-active real-time control approach for dynamic vehicle routing problems dealing with the delivery of urgent goods," European Journal of Operational Research, Elsevier, vol. 225(1), pages 130-141.
    16. Thibaud Deguilhem & Juliette Schlegel & Jean-Philippe Berrou & Ousmane Djibo & Alain Piveteau, 2024. "Too many options: How to identify coalitions in a policy network?," Post-Print hal-04689665, HAL.
    17. Piotr Sawicki & Hanna Sawicka, 2021. "Optimisation of the Two-Tier Distribution System in Omni-Channel Environment," Energies, MDPI, vol. 14(22), pages 1-22, November.
    18. Anurag Agarwal, 2009. "Theoretical insights into the augmented-neural-network approach for combinatorial optimization," Annals of Operations Research, Springer, vol. 168(1), pages 101-117, April.
    19. Haochen Zhang & Shaowei Cai & Chuan Luo & Minghao Yin, 2017. "An efficient local search algorithm for the winner determination problem," Journal of Heuristics, Springer, vol. 23(5), pages 367-396, October.
    20. Nils Boysen & Dirk Briskorn & Stefan Schwerdfeger, 2023. "How to charge while driving: scheduling point-to-point deliveries of an electric vehicle under overhead wiring," Journal of Scheduling, Springer, vol. 26(1), pages 19-41, February.

    More about this item

    Keywords

    Agribusiness; Production Economics;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ags:gjagec:97183. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/iahubde.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.